Senior Solution Architect - Data Platform & Analytics

Req ID: 355944 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior Solution Architect - Data Platform & Analytics to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Duties: We are looking for an experienced Senior Software Architect with a deep understanding of Cloud Architecture (Azure and AWS) and Data Platforms (Databricks) to join our team. The ideal candidate has 8+ years of experience designing and implementing cloud data platforms in large enterprises, with strong hands-on cloud solutions and architecture experience with big data platforms such as Databricks. You will lead the feature enablement and provide guidance to development and adoption teams on our scalable, secure, and cost-efficient data lakehouse across Azure (primary) and AWS (secondary). You will partner with engineering, networking/security, and analytics teams to deliver robust data ingestion, transformation, governance, and consumption capabilities (e.g., Power BI/Tableau), including batch and streaming use cases.
Experience with tools such as Databricks, MS Fabric, Azure Data Factory, AWS Glue, Power BI, and Collibra as well as experience with Azure access management and networking is highly desirable. The successful candidate will play a key role in designing and implementing scalable cloud architectures for big data processing and analytics solutions. Key

Responsibilities:
• Lead feature enablement and capability development efforts on Enterprise Data Platform which is based on Databricks lakehouse architecture, including performance and cost optimization.
• Define reference architectures, engineering standards, and best practices for data lakes, lakehouse patterns, and enterprise analytics.
• Partner with networking and security teams to design secure connectivity patterns (e.g., private endpoints/links, VNet/VPC integration, routing, firewalling, segmentation) and meet enterprise security standards.
• Drive architectural governance (design reviews, technology choices, ADRs) and mentor teams to improve delivery quality.
• Provide guidance to solution architects in designing and architecting scalable and robust cloud-based solutions using Azure or AWS platforms, focusing on big data and analytics.
• Provide guidance on implementation best practices for data modeling, metadata management, data lineage, and governance in cloud data environments.
• Collaborate with analytics and reporting teams to integrate solutions with Power BI or similar tools for business insights.
• Ensure solutions meet high standards of performance, scalability, security, and cost efficiency in cloud environments.
• Work closely with cross-functional teams including DevOps, product management, and business stakeholders to align on architecture decisions.
• Stay up to date with trends in cloud, data engineering, analytics, governance, and AI/ML enablement.

Minimum Skills Required: and data solutions.
• Proven experience delivering data platforms within large enterprises (complex stakeholder environment, governance, security/compliance constraints).
• Strong hands-on architecture experience with Databricks (must-have), including Spark and Delta Lake.
• Expertise in cloud platforms: Microsoft Azure and/or AWS, with working knowledge of core services used in data platforms.
• Azure networking knowledge (should-have): experience designing/working with private networking, connectivity, and security patterns in Azure.
• AWS knowledge (should-have): understanding of AWS networking and data services and integration patterns.
• Experience with Data Lakes, ETL/ELT tools, and distributed processing (Spark).
• Experience with reporting/semantic layer tools such as Power BI or Tableau.
• Hands-on experience with integration/orchestration tools like Azure Data Factory, AWS Glue, FiveTran, and/or Kafka.
• Knowledge of modern data governance and data management practices (catalog, lineage, data quality, MDM).
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and stakeholder management skills across global teams.

Preferred Experience:
• Experience with real-time data streaming and event-driven archa

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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